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Investigating Building Information Modelling (BIM) Adoption in Indonesia Construction Industry

Authors :
Hatmoko Jati Utomo Dwi
Fundra Yulian
Wibowo Mochamad Agung
Zhabrinna
Source :
MATEC Web of Conferences, Vol 258, p 02006 (2019)
Publication Year :
2019
Publisher :
EDP Sciences, 2019.

Abstract

The development of information technology continues to evolve to respond the increasing demand and challenges in the construction industry. Building Information Modelling (BIM) emerges in recent years as the fresh solution to make the project lifecycle more efficient by encouraging collaborative working of all stakeholders involved in the construction project, i.e. owners, consultants, and contractors. This study aims to investigate BIM adoption and implementation in Indonesia construction industry and explore challenges and opportunities related to the implementation of BIM. A combination of qualitative and quantitative research method has been adopted for this exploratory research. Data was collected through interviews and questionnaires survey with snowball sampling from twenty entities, consisting of 12 contractors, 4 consultants, and 4 owners. The results show that 60% of respondents have already acknowledged and implemented BIM. The examples of BIM software used by the respondents include Revit, Tekla, and SmartPlan®. Benefits of BIM implementation as perceived by most respondents, e.g. design collision detection, clear project simulation, reduced reworks, and efficient use of resources. The adoption of BIM, however, still faces challenges, such as the absence of requirement and demand, and high investment cost. This research provides an initial understanding of current BIM adoption in Indonesia, which can be used as the basis to develop a national strategic framework for BIM adoption in Indonesia construction industry.

Details

Language :
English, French
ISSN :
2261236X
Volume :
258
Database :
Directory of Open Access Journals
Journal :
MATEC Web of Conferences
Publication Type :
Academic Journal
Accession number :
edsdoj.436f3facc11049bda70f0f24beb2076b
Document Type :
article
Full Text :
https://doi.org/10.1051/matecconf/201925802006